Skip to main content

Deterministic execution engine with traceable, immutable history

Project description

Anusara

Deterministic execution runtime for agent workflows.


What is Anusara?

Anusara is a deterministic runtime for executing agent workflows.

Anusara makes agent workflows deterministic, observable, and replayable by design.

It executes graphs of agents using:

  • deterministic scheduling
  • event-sourced execution history
  • replay-driven state reconstruction

Every execution becomes:

  • replayable
  • inspectable
  • debuggable
  • reproducible

🚀 Quickstart (Docker)

Run Anusara

docker run -d --name anusara -p 8000:8000 navasoftsolutions/anusara:latest

Verify

curl http://localhost:8000/health && echo
curl http://localhost:8000/agents/available && echo

The Mental Model

Agent Graph
     ↓
Deterministic Execution Engine
     ↓
Event Log (source of truth)
     ↓
Replay • Debug • Observability

Why Anusara?

Anusara enforces:

  • deterministic execution
  • event log authority
  • replay-based debugging
  • explicit lifecycle guarantees

Key Features

  • deterministic execution
  • event-sourced execution history
  • replayable workflows
  • HTTP + CLI + Python runtime
  • agent lifecycle management
  • built-in observability
  • controlled workflow mutation

Project Status

Anusara is under active development.


License

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

anusara-1.5.0.tar.gz (89.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

anusara-1.5.0-py3-none-any.whl (137.4 kB view details)

Uploaded Python 3

File details

Details for the file anusara-1.5.0.tar.gz.

File metadata

  • Download URL: anusara-1.5.0.tar.gz
  • Upload date:
  • Size: 89.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.5.0.tar.gz
Algorithm Hash digest
SHA256 fda3710e536f4515cf7d64e2d0b65a27111254bca10ae15eeec868d610d4326e
MD5 b07f8e7f7b0c0a9b558fcefc968990fe
BLAKE2b-256 3e51c7e9d0a041f7f82daaa62e77f26545937481a902d478c27894a39e7cfdfc

See more details on using hashes here.

File details

Details for the file anusara-1.5.0-py3-none-any.whl.

File metadata

  • Download URL: anusara-1.5.0-py3-none-any.whl
  • Upload date:
  • Size: 137.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b3d0a253810ed0b8c1a3b3a93ddc5e7ae5222ce63bdbbf4e0fc325fe7a4e2a8b
MD5 5a0b6e9b9ec4516f9629450836211ced
BLAKE2b-256 afaeaf06fa69f4fad0df5cef085a7d8e8887534cbb5f925db13fb5973768ad0f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page